Artificial Intelligence and Machine Learning in Contemporary Organizational Practice
Author: Dr. Anna Neya Kazanskaia
Publisher: NEYA Global Publishing
Article | NEYA Global Journal of Non-Profit Studies
Year: 2025
ORCID: https://orcid.org/0009-0009-5669-1676
DOI: https://doi.org/10.64357/neya-gjnps-ai-mch-lr-01
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About the Article
Artificial Intelligence (AI) and Machine Learning (ML) are increasingly central to the transformation of organizational structures, decision-making, and innovation. This article critically examines their role in contemporary organizational practice, balancing efficiency, competitiveness, and social impact. Drawing on examples from commercial, healthcare, and climate sectors, it highlights both transformative potential and ethical challenges. By bridging theoretical debates with applied practice, the article underscores how AI and ML can simultaneously drive innovation and support equity in both corporate and non-profit contexts.
Key Topics
- Artificial intelligence in organizational practice
- Machine learning applications
- Innovation and competitiveness
- Ethical and governance challenges
- Non-profit and low-resource contexts
- Data-driven decision-making
Suggested Citation
Kazanskaia, A. N. (2025). Artificial Intelligence and Machine Learning in Contemporary Organizational Practice. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-ai-mch-lr-01
References
| Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton & Company. | ||||
| Crawford, K. (2021). Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press. https://doi.org/10.12987/9780300252392 | ||||
| Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin's Press. | ||||
| Kazanskaia, A. N. (2025). AI and Machine Learning. NEYA Global Publishing. https://doi.org/10.64357/ai-and-machine-learning-2025 | ||||
| Kazanskaia, A. N. (2025). Guide to Digital Transformation. NEYA Global Publishing. https://doi.org/10.64357/guide-to-digital-transformation-2025 | ||||
| Kazanskaia, A. N. (2025). Digital Collaboration Tools: Enhancing Team Productivity. NEYA Global Publishing. https://doi.org/10.64357/digital-collaboration-tools-2025 | ||||
| Kazanskaia, A. N. (2025). Technology Tools for Efficiency & Impact. NEYA Global Publishing. https://doi.org/10.64357/technology-tools-2025 | ||||
| Kazanskaia, A. N. (2025). Implementing Artificial Intelligence and Machine Learning: Strategies, Tools, and Best Practices. NEYA Global Journal of Non-Profit Studies. https://doi.org/10.64357/neya-gjnps-ai-mch-lr-06 | ||||
| Kazanskaia, A. N. (2025). Overcoming Challenges in Artificial Intelligence Implementation in Non-Profits. NEYA Global Journal of Non-Profit Studies. https://doi.org/10.64357/neya-gjnps-ai-mch-lr-09 | ||||
| Topol, E. (2019). Deep medicine: How artificial intelligence can make healthcare human again. Basic Books. | ||||
| UN Global Pulse. (2018). Big data for sustainable development. United Nations. | ||||
| Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2019). Artificial intelligence and the public sector-applications and challenges. International Journal of Public Administration, 42(7), 596-615. https://doi.org/10.1080/01900692.2018.1498103 | ||||
